AIMC Topic: Antiretroviral Therapy, Highly Active

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Predicting the immunological nonresponse to antiretroviral therapy in people living with HIV: a machine learning-based multicenter large-scale study.

Frontiers in cellular and infection microbiology
BACKGROUND: Although highly active antiretroviral therapy (HAART) has greatly enhanced the prognosis for people living with HIV (PLWH), some individuals fail to achieve adequate immune reconstitution, known as immunological nonresponse (INR), which i...

Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens.

HIV research & clinical practice
To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted protease inhibitors (PI/b), we enrolled 34 subjects with a median HIV-RNA 79 copies/mL and followed them for 15 months. Samples for next generation sequenc...

A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients.

BMC medical informatics and decision making
BACKGROUND: Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral load within 6 months of initiati...

Paraconsistents artificial neural networks applied to the study of mutational patterns of the F subtype of the viral strains of HIV-1 to antiretroviral therapy.

Anais da Academia Brasileira de Ciencias
The high variability of HIV-1 as well as the lack of efficient repair mechanisms during the stages of viral replication, contribute to the rapid emergence of HIV-1 strains resistant to antiretroviral drugs. The selective pressure exerted by the drug ...

High frequency of neurosyphilis in HIV-positive patients diagnosed with early syphilis.

HIV medicine
BACKGROUND: Syphilis is an infection frequently seen with HIV, and European guidelines on the management of syphilis suggest that HIV-infected patients may have an increased risk of early neurological involvement, sometimes asymptomatic. Recent study...

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Statistics in medicine
Inverse probability weights used to fit marginal structural models are typically estimated using logistic regression. However, a data-adaptive procedure may be able to better exploit information available in measured covariates. By combining predicti...

[Virological evolution of patients with HIV infection that start antiretroviral therapy with a very high baseline viral load].

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
BACKGROUND: The degree of viral suppression in HIV patients who start antiretroviral therapy (ART) with very high viral loads (CV) is unknown.

Real World Patient-reported Outcomes in HIV-infected Adults Switching to EVIPLERA®, Because of a Previous Intolerance to cART. PRO-STR Study.

Current HIV research
BACKGROUND: To investigate the impact of switching from stable Combined Antiretroviral Therapy (cART) to single-tablet regimen (RPV/FTC/TDF=EVIPLERA® /COMPLERA®) on patient- reported outcomes in HIV-infected adults who cannot tolerate previous cART, ...

Efficacy of eculizumab in an adult patient with HIV-associated hemolytic uremic syndrome: A case report.

Medicine
INTRODUCTION: Hemolytic uremic syndrome (HUS) in Human Immunodeficiency Virus (HIV)-positive patients has become a rare cause of kidney injury since the era of highly active antiretroviral therapy (HAART). Plasma exchange and antiretroviral therapy w...